Instructions to use amphion/TaDiCodec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amphion/TaDiCodec with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amphion/TaDiCodec", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update pipeline tag to audio-to-audio
#2
by nielsr HF Staff - opened
This PR updates the pipeline_tag for the amphion/TaDiCodec model from text-to-speech to audio-to-audio. This change more accurately reflects the model's core functionality as a speech tokenizer capable of speech reconstruction, enabling it to be found under the correct pipeline category at https://huggingface.co/models?pipeline_tag=audio-to-audio. The existing Text-to-Speech tag is retained in the general tags list to acknowledge the model's use in TTS applications.
Hecheng0625 changed pull request status to merged